Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) is a monthly peer-reviewed scopus indexed journal originally founded in 1986. It is sponsored by the Ministry of Education, china and Northeastern University, china. Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) has always adhered to the correct purpose of running the journal, and has been committed to gathering and disseminating excellent academic achievements, inspiring technological innovation, and promoting the development of disciplines in my country.Aiming at major national needs and international frontiers, this journal has published a large number of original and high-level research result. The journal was selected into the "China Science and Technology Journal Excellence Action Plan Project" in December 2019.In the future, it will strive to build an open innovation, collaborative integration.
In this article, we investigate the fundamental solution of the operator , where is a non-negative real number, is the diamond Klein - Gordon operator, is the dimension of the Euclidean space , and is a non-negative integer. First, we study the fundamental solution of the operator . Then, we apply this fundamental solution to solve the equation where is a generalized function and is the unknown function defined on .
Thanks to technological advancements, AI and deep learning-based systems have generated significant interest in addressing stroke and diabetes-related issues. In this article, we have, on the one hand, implemented a generalized classification algorithm that combines a set of AI algorithms used for classification, displaying the best model metrics and saving the optimal model. On the other hand, we optimized the computation time of the proposed algorithm. To achieve this, we used the Mojo programming language, which eliminates interpreter overhead and leverages parallelism and hardware optimiza
One of the primary functions of government is to reduce crime. Despite the government's efforts to curb criminal activities, the security situation in many urban areas has deteriorated. This study aimed to create and test a machine learning model to predict crime categories and visualize the location where they occur using contextual features from the datasets. This was achieved by combining time, location, and contextual data with machine learning to improve crime prediction. The crime datasets were collected from various sources, including Nairobi County law enforcement agencies. They were s
Text similarity determination is one of the core technologies in the field of natural language processing. Its accuracy directly affects the accuracy of semantic similarity analysis and image, graphic and audio similarity. It is of great significance to conduct in-depth research on text similarity and mine efficient algorithms. The research goal of this paper is to improve the accuracy and efficiency of text similarity determination. This study summarize five traditional text similarity determination methods, namely Euclidean distance, cosine similarity, Manhattan distance, Jaccard similarity
This paper introduces an advanced design methodology of a 2.6 GHz CMOS LC Voltage-Controlled Oscillator (VCO) within the AMS CMOS 0.35 μm technology process. The primary objectives of this design approach are to achieve minimal power consumption, a high figure-of-merit (FOM), and low phase noise. In addressing the inherent design challenges, a metaheuristic Particle Swarm Optimization (PSO) is implemented to identify the most effective dimensions for the components of the LC-VCO. In particular, the PSO algorithm is applied to optimize the channel length and width of the MOS transistors, aimin